Inspiration

Breathing ought to be simple, but for millions of people, it never has been. The team's involvement in the project was sparked by one of the team members' interests in the use of engineering and technology in medicine, or biomedical engineering. Scientists have struggled for a long time with how to treat respiratory conditions that are life-threatening. We are on the verge of a revolution related to respiratory health due to the tremendous advancement in research and technology.

What it does

By using a risk-reduction strategy, the app and its connected devices harness the power of real-time data to assist patients with the most basic challenges, such as learning how to identify and avoid asthma triggers using sensors, external devices, and artificial intelligence (A.I.); how to manage complex medication regimens; and how to deal with challenges even when using their inhalers correctly. The app is linked to two devices: with various sensors to monitor environmental factors which may have an impact on the health of asthmatic patients, and an inhaler sensor that may be attached to a patient's device to detect inhaler proximity. It forces users to adhere to a course of therapy and a relationship between doctors and patients. The app also learns about the user’s breathing and helps the user work closely with his/her physician.

How we built it

The project started a 4 weeks ago with some realizations and learning - coming from our own experience and research in biomed Tech. After few days learning and researching, we then moved into the ideation where all team members contributed to the wonderful idea. The ideation and planning phase took a total time span of 6 - 8 days. Following this, the building and development phase consumed the remaining time before the submission deadline.

Challenges we ran into

Several challenges delayed our submission. First is the scarcity and high price of hardware components. Secondly is human management in task designation and finally unstable power supply. Notwithstanding, we conquered all challenges to come up with our solution.

Accomplishments that we're proud of

In general, we’re quite proud of submitting a solution that works (given that we implemented it in a couple of weeks). We built an app works alongside two external devices on a Wristband and on the patient’s inhaler. By risk reduction method, they leverage the power of real-time data which helps asthma patients with most fundamental struggles like how to recognize and avoid asthma triggers by using sensors and external devices. Our device is equipped with a vibration sensor which give haptic feedback to user when triggered. This interface doesn’t only work technically, but it’s also visually appealing and it has some level of UX validation.

What we learned

The ubiquitous smartphone is used to address numerous concerns, including health-related ones, thanks to its robust connectivity to applications, wearables, traders, and monitoring equipment.

What's next for Asụma

GuavaCoders dreams is building a global device which would help save lives of asthma patients. We wish to advance the Inclusion of AI for asthma attack prediction and use of noninvasive ultrasound system for Inhaler level monitoring.

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